training

A function that trains the algorithm to select the edges that
maximize the entropy

It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of maximum entropy for the purpose of making a classification between the classes of the sequences. There are two data present in the 'BASiNET' package, "mRNA", and "ncRNA" with 10 sequences. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples.

Fabricio Martins Lopes

BASiNETEntropy

Classification of RNA Sequences using Complex Network and
Information Theory

Murilo Montanini Breve

Matheus Henrique Pimenta-Zanon

training function

<dl><dt>mRNA</dt>
<dd>Directory where the file .FASTA lies with the mRNA sequences</dd>
<dt>lncRNA</dt>
<dd>Directory where the file .FASTA lies with the lncRNA sequences</dd>
<dt>sncRNA</dt>
<dd>Directory where the file .FASTA lies with the sncRNA sequences
(optional)</dd></dl>

Arguments

Author

Trains the algorithm to select the edges that maximize the entropy — training

<dl>

<dt>mRNA</dt>
<dd>Directory where the file .FASTA lies with the mRNA sequences</dd>


<dt>lncRNA</dt>
<dd>Directory where the file .FASTA lies with the lncRNA sequences</dd>


<dt>sncRNA</dt>
<dd>Directory where the file .FASTA lies with the sncRNA sequences
(optional)</dd>

</dl>

training: Trains the algorithm to select the edges that maximize the entropy

Description

Usage

Value

Arguments

Author